Generalized Invariants of a 4th order tensor: Building blocks for new biomarkers in dMRI

This paper presents a general and complete (up to degree 4) set of invariants of 3D 4th order tensors with respect to SO3. The invariants to SO3 for the 2nd order diffusion tensor are well known and play a crucial role in deriving important biomarkers for DTI, e.g. MD, FA, RA, etc. But DTI is limited in regions with fiber heterogeneity and DTI biomarkers severely lack specificity. 4th order tensors are both a natural extension to DTI and also form an alternate basis to spherical harmonics for spherical functions. This paper presents a systematic method for computing the SO3 invariants of 3D 4th order tensors, derives relationships between the new (generalized) invariants and existing invariants and shows results on synthetic and real data. It also present, hitherto unknown, new invariants for 4th order tensors. Analogously to DTI, these new invariants can perhaps form building blocks for new biomarkers.

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Additional Info

Field Value
Source Computational Diffusion MRI Workshop (CDMRI), MICCAI
Author Ghosh, Aurobrata, Papadopoulo, Théodore, Deriche, Rachid
Maintainer CCSD
Last Updated May 14, 2026, 10:05 (UTC)
Created May 14, 2026, 10:05 (UTC)
Identifier hal-00789763
Language en
contributor Computational Imaging of the Central Nervous System (ATHENA) ; Centre Inria d'Université Côte d'Azur ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
coverage Nice, France
creator Ghosh, Aurobrata
date 2012-05-14T00:00:00
harvest_object_id 8bfb4a00-793e-4ccf-a2c9-205339916bae
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-08-26T00:00:00
set_spec type:COMM